Open AccessOptimizing Selection for Yield Using Selection Index
Author(s) -
Sugiono Moeljopawiro
Publication year - 2015
Publication title -
zuriat
Language(s) - English
Resource type - Journals
eISSN - 2615-6261
pISSN - 0853-0858
DOI - 10.24198/zuriat.v13i1.6726
Subject(s) - selection (genetic algorithm) , diallel cross , trait , index selection , index (typography) , statistics , grain yield , mathematics , biology , microbiology and biotechnology , computer science , agronomy , machine learning , hybrid , world wide web , programming language
An experiment was conducted to construct selection indices for yield. F2 populations of half diallel crosses involving six cultivars were analyzed to calculate phenotypic and additive genetic variances and covariances which were used to construct selection indices. Results of the selection index indicated that selection applied to several traits simultaneously was more efficient than selection based on an individual trait or a combination of only one or two traits. However, the choice of traits to be included in a selection index should be determined by their economic value and Index involving panicle length, grain length, and grain width, was a promising index in this study. A selection index properly constituted can be used to improve the selection procedure, once homozygousity is assured.